code: def _ValidateProvideBatchPlaceholder(
      self, truncated_length, batch_size, lengths, expected_num_inputs
  ):
      examples, expected_inputs = self._CreateExamplesAndExpectedInputs(
          truncated_length, lengths, expected_num_inputs
      )
      examples_ph = tf.placeholder(tf.string, [None])
      feed_dict = {
          examples_ph: [e.SerializeToString() for e in examples]
      }
  
      self._ValidateProvideBatch(
          examples_ph,
          truncated_length,
          batch_size,
          expected_inputs,
          feed_dict=feed_dict,
      )
  
imports: import copy
  import tempfile
  import time
  from magenta.models.onsets_frames_transcription import configs
  from magenta.models.onsets_frames_transcription import constants
  from magenta.models.onsets_frames_transcription import data
  from note_seq import audio_io
  from note_seq import sequences_lib
  from note_seq import testing_lib
  from note_seq.protobuf import music_pb2
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 9 for calling the DataTest obj's underlying member method code with example usage: obj._ValidateProvideBatchPlaceholder(truncated_length, batch_size, lengths, expected_num_inputs) without return types